Our work has a few limitations. First, there could exist other connections in the network that are not captured by a current network setup. Moreover, the way edges are created based on the Geohash 7 (Appendix , Table REF ) proximity can affect the connectivity strength of the network. Future improvements include unsupervised learning algorithms for influencer detection including anomaly detection methods for dynamic networks. Next, we can evaluate models from a profit-driven perspective that will enable us to bring more business context into the results. Furthermore, we can explore behavioral node features from the delivery app which can potentially increase predictive power. Moreover, we can expand the network to more than one city to study how generalizable the results are in a larger geographical area. The future research avenues also include exploring more encoder configurations such as GraphSAGE [1]} or Graph Isomorphism Networks [2]}.
